Federated Learning for Cross-Silo Electronic Health Record Prediction
Decentralized recurrent neural network predicting 30-day hospital readmission rates without sharing patient health records across hospitals.
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Project Technical Overview
Orchestrates multi-hospital collaborative AI training. Each hospital node computes local gradients on its EHR patient database and transmits encrypted weight updates to a central aggregation server, achieving high clinical accuracy while guaranteeing patient confidentiality.
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.